Lung Segmentation and Computer Aided Rib Suppression for Consolidation Scoring

Overview

This project focuses on lung segmentation and computer-aided rib suppression for consolidation scoring using chest X-ray images. The goal is to enhance the visibility of lung abnormalities by applying advanced image processing techniques.

Techniques Used

1. CLAHE (Contrast Limited Adaptive Histogram Equalization): Applied to enhance the contrast of chest X-ray images, improving the visibility of lung structures.
2. U-Net Architecture: Utilized for accurate lung segmentation, enabling precise isolation of lung regions from the X-ray images.
3. Image Processing for Ribcage Suppression: Employed techniques to suppress ribcage structures, reducing visual clutter and aiding in consolidation scoring.

For more details, check out the project on my GitHub